Plan energy systems for a grid that can't keep up. In hours, not weeks.
Interconnection queues run for years and AI load is climbing. Sympheny optimizes behind-the-meter generation, storage, microgrids and thermal energy networks together, so you can prove out a site's cost, carbon and resilience before committing capital.
Scenario setup, optimization, and reporting in one workflow.
Swiss company · 70+ customers across Europe, the US and China · US enterprise deployment options · Your data stays yours
The constraint isn't efficiency anymore. It's getting power.
New loads wait years for a grid connection while demand climbs. Behind-the-meter generation, microgrids and thermal energy networks are how sites move forward, and they only pencil out if the whole system is optimized together.
Interconnection queues run for years
Large new loads wait years for a grid connection, and many are told there is no capacity at all. The way through is behind-the-meter generation and a smaller, better-evidenced grid request.
AI load is growing fast
Data-center power demand is projected to grow several-fold this decade, and AI workloads swing sharply. A system sized on a flat average is wrong for real operation and for the connection request.
Behind-the-meter and microgrids carry the gap
On-site generation, storage and a microgrid keep a site moving while the grid catches up. Sized against the real hourly load, they are bankable; sized on a nameplate number, they are not.
Thermal energy networks decarbonize campuses
Campuses, bases and data-center districts are moving heating and cooling onto shared ambient loops and heat pumps. The feasibility case has to compare options on cost and carbon, defensibly.
Two flagship planning problems, one optimization engine.
Data center microgrid & energy planning
Model behind-the-meter generation, storage and microgrid options, size the grid request, and build the cost, CO2 and resilience case before any equipment is specified.
Explore data center planningThermal energy network feasibility
Size the ambient loop, geo-exchange and supply mix for a campus, federal site or data-center district in one model, and compare cost against carbon on real hourly demand.
Explore TEN feasibilityA rigorous optimization engine wrapped in a practical planning platform.
Sympheny handles the whole planning job: assembling the data foundation, building a digital twin, running the optimization, then comparing scenarios and getting the outcome in front of the people who decide.
One model for power, heat, cooling and storage
Model electricity, heat, cooling, gas, hydrogen, storage and on-site generation together, instead of as separate studies that never line up. Sector-coupling options and grid constraints sit side by side, so you compare them on the same footing.
- Multiple conversion technologies per hub
- Storage and flexibility modeled inside the same optimization
- Add custom technologies from your own assumptions
Plan at site and district scale
Pull asset catalogs, hourly demand profiles, tariffs, GIS layers and meter data into a single model you can reuse. Go from one building to a campus or a data-center district without rebuilding from scratch.
- GIS context for every building and hub
- Hourly demand and tariff profiles in one place
- Reusable across feasibility, planning and design hand-off
Outputs your stakeholders can actually read
Hourly demand profiles, load-duration curves, Sankey energy flows and Pareto cost/CO2 comparisons, all generated from the same model and viewable in the app. Built to survive the review where a funder or tenant picks it apart.
- Hourly resolution across a full reference year
- Peak-shaving and storage-sizing visible at a glance
- Stakeholder-ready exports without manual rework
Proven on the same problems US sites face.
These are European commissions. They demonstrate the method a US data center, campus or base relies on: needing less from the grid by generating, storing and sharing on site.
Sixteen on-site generation and energy-sharing scenarios compared in one project. Interlinking buildings to generate and share power locally was the lowest-risk strategy.
Read case studyA two-site system sharing a thermal network and a microgrid, with life-cycle cost up to 26% below the baseline and six Pareto variants in under ten minutes.
Read case studyA low-temperature thermal network moving 90,000 MWh a year of heating and cooling across six hubs and 30+ scenarios, the ambient-loop problem a campus TEN poses.
Read case studyBuilt for the teams powering critical US sites
The people who have to turn a stack of technical options into a decision their organization will fund and a reviewer will sign off on.
Data Center Developers & Operators
Get a site powered when the grid can't: behind-the-meter generation, storage and microgrid options sized against the real load, with the interconnection and clean-power case to back them.
Data center planningA&E Firms & Engineers
Take a feasibility study from site brief to a defensible, optimized concept, with the multi-energy rigor and client-ready outputs to defend it in front of the client.
For engineersFederal & DoD Energy Programs
Compare thermal energy network and microgrid options for a campus or base on cost, carbon and resilience, with documented outputs a program and funder can interrogate.
Thermal energy networksUtilities & Energy Providers
Plan across sites, networks, tariffs and investment horizons that run decades out, with scenarios solid enough to back a real infrastructure call.
For utilitiesRigor, usability, and proof in the same platform.
Calculations run on a deterministic MILP engine. It is pure math, there is no AI used for the optimization. Clustering is statistical; ML demand forecasting is opt-in.
Model electricity, heat, cooling, gas, hydrogen, storage and on-site generation together, so behind-the-meter and sector-coupling choices get judged as part of the same system.
An Empa spin-off out of the ETH Domain with 10+ years of R&D. In the US, Sympheny's optimization engine has been applied in Department of Defense thermal energy network feasibility studies under the ESTCP program.
"Sympheny supports our strategic energy planning in an ideal way. The flexibility is extremely convincing and the sensitivity analysis provides security in finding solutions."
Bring us a site the grid can't power yet.
We'll model the on-site generation, the storage, the network and the grid cost together, and show you the system worth building before anyone specifies a component.
